Analytics
Lookalike Modeling
Lookalike modeling uses data science to find new potential customers who share characteristics with your best existing customers. It analyzes attributes of a seed audience to identify similar individuals in a larger population who are likely to convert.
Examples
A DTC brand uploads its top 1,000 customers as a seed list and the platform identifies 200,000 lookalike prospects with similar demographics and behaviors.
Best Practices
Use your highest-value customers as the seed audience rather than all customers, and test different similarity thresholds to balance reach and precision.